Novel Collaborative Automated Testing Framework Using DDF*. - Songwen Pei; Baifeng Wu; Qiang Yu; Kun Zhu 005 (CDVE, 2007)

Prototyping system of codec for novel 2-D continuous barcode. - Songwen Pei; Guobo Li; Gang Chen 012; Baifeng Wu (CSCWD, 2008)

GPGPU supported cooperative acceleration in molecular dynamics. - Gang Chen 012; Guobo Li; Songwen Pei; Baifeng Wu (CSCWD, 2009)

A self-embedded watermarking scheme based on relationship function of corresponding inter-blocks DCT coefficient. - Guobo Li; Songwen Pei; Gang Chen 012; Wenjun Cao; Baifeng Wu (CSCWD, 2009)

SpMT WaveCache: Exploiting Thread-Level Parallelism in WaveScalar. - Songwen Pei; Baifeng Wu; Min Du; Gang Chen 012; Leandro A. J. Marzulo; Felipe Maia Galvão França (CSIE (3), 2009)

A GPU-based computing framework for CSCW. - Gang Chen 012; Guobo Li; Baifeng Wu; Songwen Pei (CSCWD, 2010)

Fusion Coherence: Scalable Cache Coherence for Heterogeneous Kilo-Core System. - Songwen Pei; Myoung-Seo Kim; Jean-Luc Gaudiot; Naixue Xiong (ACA, 2014)

Performance-energy efficiency model of heterogeneous parallel multicore system. - Songwen Pei; Junge Zhang; Naixue Xiong; Myoung-Seo Kim; Jean-Luc Gaudiot (IGSC, 2015)

A low-power-consumption and high efficiency security system for automatic detection of concealed objects in human body. - Huixin Tong; Songwen Pei; Linhua Jiang; Yiming Zhu; Xiao Lin (IGSC, 2016)

GB-RC4: Effective brute force attacks on RC4 algorithm using GPU. - Pei Xue; Tao Li; Han Dong; Chunbo Liu; Wenjing Ma; Songwen Pei (IGSC, 2016)

Codelet Scheduling by Genetic Algorithm. - Songwen Pei; Jinkai Wang; Wenyang Cui; Linhua Jiang; Tongsheng Geng; Jean-Luc Gaudiot; Stéphane Zuckerman (Trustcom/BigDataSE/ISPA, 2016)

Extending Amdahl's Law for Heterogeneous Multicore Processor with Consideration of the Overhead of Data Preparation. - Songwen Pei; Myoung-Seo Kim; Jean-Luc Gaudiot (IEEE Embed. Syst. Lett., 2016)

Reevaluating the overhead of data preparation for asymmetric multicore system on graphics processing. - Songwen Pei; Junge Zhang; Linhua Jiang; Myoung-Seo Kim; Jean-Luc Gaudiot (KSII Trans. Internet Inf. Syst., 2016)

Teaching Autonomous Driving Using a Modular and Integrated Approach. - Jie Tang 003; Shaoshan Liu; Songwen Pei; Stéphane Zuckerman; Chen Liu 001; Weisong Shi; Jean-Luc Gaudiot (COMPSAC (1), 2018)

Localized Traffic Sign Detection with Multi-scale Deconvolution Networks. - Songwen Pei; Fuwu Tang; Yanfei Ji; Jing Fan; Zhong Ning (COMPSAC (1), 2018)

Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law. - Songwen Pei; Junge Zhang; Naixue Xiong; Myoung-Seo Kim; Jean-Luc Gaudiot (Int. J. High Perform. Comput. Netw., 2018)

Decentralized Clustering by Finding Loose and Distributed Density Cores. - Yewang Chen; Shengyu Tang; Lida Zhou; Cheng Wang 020; Jixiang Du; Tian Wang 001; Songwen Pei (Inf. Sci., 2018)

A Path-Counter Method for Fault-Tolerant Minimal Routing Algorithms in 2D Mesh. - Hongzhi Zhao; Qiang Wang; Ke Xiong 001; Songwen Pei (J. Circuits Syst. Comput., 2018)

DHeat: A Density Heat-Based Algorithm for Clustering With Effective Radius. - Yewang Chen; Shengyu Tang; Songwen Pei; Cheng Wang 020; Jixiang Du; Naixue Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2018)

DA-BERT: Enhancing Part-of-Speech Tagging of Aspect Sentiment Analysis Using BERT. - Songwen Pei; Lulu Wang 007; Tianma Shen; Zhong Ning (APPT, 2019)

DATRA: A Power-Aware Dynamic Adaptive Threshold Routing Algorithm for Dragonfly Network-on-Chip Topology. - Songwen Pei; Jihong Yuan; Yanfei Ji; Tianma Shen (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging. - Quanchun Jiang; Olamide Timothy Tawose; Songwen Pei; Xiaodong Chen; Linhua Jiang; Jiayao Wang 004; Dongfang Zhao 001 (Big Data Cogn. Comput., 2019)

Neural Network Compression and Acceleration by Federated Pruning. - Songwen Pei; Yusheng Wu; Meikang Qiu (ICA3PP (2), 2020)

Adversarial Examples Detection for XSS Attacks Based on Generative Adversarial Networks. - Xueqin Zhang; Yue Zhou; Songwen Pei; Jingjing Zhuge; Jiahao Chen 004 (IEEE Access, 2020)

An efficient dataflow accelerator for scientific applications. - Xiaochun Ye; Xu Tan 001; Meng Wu 006; Yujing Feng; Da Wang; Hao Zhang 009; Songwen Pei; Dongrui Fan (Future Gener. Comput. Syst., 2020)

3DACN: 3D Augmented convolutional network for time series data. - Songwen Pei; Tianma Shen; Xianrong Wang; Chunhua Gu; Zhong Ning; Xiaochun Ye; Naixue Xiong (Inf. Sci., 2020)

STARS: Spatial Temporal Graph Convolution Network for Action Recognition System on FPGAs. - Songwen Pei; Xianrong Wang; Wei Qin; Sheng Liang (COMPSAC, 2021)

DRAM: Dragonfly Routing Algorithm on Multi-objects by Optimal Thresholds. - Yihuan Qian; Songwen Pei; Jihong Yuan; Dianle Zhou; Tong Liu 001; Linghe Kong (ISPA/BDCloud/SocialCom/SustainCom, 2021)

IEEE Access Special Section Editorial: Artificial Intelligence in Parallel and Distributed Computing. - Songwen Pei; Junjie Wu; Tao Li 022; Yong Chen; Stéphane Zuckerman (IEEE Access, 2021)

Genetic scheduling policy on codelet model. - Songwen Pei; Jinkai Wang; Linhua Jiang; Naixue Xiong; Jean-Luc Gaudiot (Concurr. Comput. Pract. Exp., 2021)

Heterogeneous computation in specific domain accelerations. - Chen Liu 001; Songwen Pei (Future Gener. Comput. Syst., 2021)

KNN-BLOCK DBSCAN: Fast Clustering for Large-Scale Data. - Yewang Chen; Lida Zhou; Songwen Pei; Zhiwen Yu 002; Yi Chen 007; Xin Liu 011; Jixiang Du; Naixue Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Wavelet-Based Mamba with Fourier Adjustment for Low-Light Image Enhancement. - Junhao Tan; Songwen Pei; Wei Qin; Bo Fu; Ximing Li; Libo Huang (ACCV (4), 2022)

DRP: Discrete Rank Pruning for Neural Network. - Songwen Pei; Jie Luo; Sheng Liang (NPC, 2022)

TransMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory. - Songwen Pei; Jianan Li; Yihuan Qian; Jie Tang 003; Jean-Luc Gaudiot (NPC, 2022)

Neural Network Pruning by Recurrent Weights for Finance Market. - Songwen Pei; Yusheng Wu; Jin Guo; Meikang Qiu (ACM Trans. Internet Techn., 2022)

Multi-view Neighbor-Enriched Contrastive Learning Framework for Bundle Recommendation. - Yuhang Chen; Sheng Liang; Songwen Pei (ICA3PP (3), 2023)

Realistic Sketch Face Generation via Sketch-Guided Incomplete Restoration. - Zijie Liu; Chunhua Gu; Ying Xie; Huichen Zhang; Songwen Pei (ICPADS, 2023)

Knowledge Enhancement and Feature Purification for Single-stage Joint Entity and Relation Extraction. - Guohao Zhai; Songwen Pei (ICPADS, 2023)

SLSNet: Weakly-Supervised Skin Lesion Segmentation Network with Self-attentions. - Songwen Pei; Junjie Huang (PRICAI (3), 2023)

RISAT: real-time instance segmentation with adversarial training. - Songwen Pei; Bo Ni; Tianma Shen; Zhenling Zhou; Yewang Chen; Meikang Qiu (Multim. Tools Appl., 2023)

Carbon Emissions Reduction of Neural Network by Discrete Rank Pruning. - Songwen Pei; Jie Luo; Sheng Liang; Haonan Ding; Xiaochun Ye; Mingsong Chen 001 (CCF Trans. High Perform. Comput., 2023)

Attention-based efficient robot grasp detection network. - Xiaofei Qin; Wenkai Hu; Chen Xiao; Changxiang He; Songwen Pei; Xuedian Zhang (Frontiers Inf. Technol. Electron. Eng., 2023)

Why Misinformation is Created? Detecting them by Integrating Intent Features. - Bing Wang 018; Ximing Li 002; Changchun Li; Bo Fu 001; Songwen Pei; Shengsheng Wang 001 (CIKM, 2024)

INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. - Fangxin Liu; Ning Yang; Zhiyan Song; Zongwu Wang; Haomin Li 002; Shiyuan Huang; Zhuoran Song; Songwen Pei; Li Jiang 002 (DAC, 2024)

EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. - Ning Yang; Fangxin Liu; Zongwu Wang; Haomin Li 002; Zhuoran Song; Songwen Pei; Li Jiang 002 (DAC, 2024)

SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. - Fangxin Liu; Ning Yang; Haomin Li 002; Zongwu Wang; Zhuoran Song; Songwen Pei; Li Jiang 002 (HPCA, 2024)

DiffSenseNet: Integrating Hierarchical Features and Angular Diffusion for Remote Sensing Object Detection. - Songwen Pei; Hongli Ma; Xinyun Qiu; Libo Huang (ISPA, 2024)

Global Color-Aware Arbitrary Style Transfer with Discrete Wavelet Transform. - Bochao Chen; Junhao Tan; Xiaoqiang Li; Songwen Pei (NPC (1), 2024)

A simple rapid sample-based clustering for large-scale data. - Yewang Chen; Yuanyuan Yang; Songwen Pei; Yi Chen 007; Jixiang Du (Eng. Appl. Artif. Intell., 2024)

DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network. - Songwen Pei; Jiyao Wang; Bingxue Zhang; Wei Qin; Hai Xue; Xiaochun Ye; Mingsong Chen 001 (Mach. Learn., 2024)

Crowded pedestrian detection with optimal bounding box relocation. - Ren Han; Meiqi Xu; Songwen Pei (Multim. Tools Appl., 2024)

Intelligent Page Migration on Heterogeneous Memory by Using Transformer. - Songwen Pei; Wei Qin; Jianan Li; Junhao Tan; Jie Tang 003; Jean-Luc Gaudiot (Int. J. Parallel Program., 2024)

SONet: Towards Practical Online Neural Network for Enhancing Hard-to-Predict Branches. - Zhenxuan Xiong; Libo Huang; Ling Yang 008; Hui Guo 004; Junhui Wang; Zhong Zheng; Songwen Pei; Gang Chen 023; Yongwen Wang (Euro-Par (2), 2025)

DropNaE: Alleviating irregularity for large-scale graph representation learning. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Songwen Pei; Lei Deng 003; Xiaochun Ye; Dongrui Fan (Neural Networks, 2025)

DDPS: Dynamic Differential Pricing-Based Edge Offloading System With Energy Harvesting Devices. - Hai Xue; Yun Xia; Neal N. Xiong; Di Zhang 002; Songwen Pei (IEEE Trans. Netw. Sci. Eng., 2025)